MATLAB-Algorithm

关于数据挖掘的概念与技术，理论与实际相结合，包括关联分析，神经网络等重要数据挖掘方法的原理与实现。(data mining)

libsvm-3.16工具箱，支持多分类向量机，能载入matlab并运行，已经通过验证的程序，很好(libsvm-3.16 toolbox, support multi-classification vector machine, can be loaded the matlab and running, has been validated procedures, very good)

主要功能：扫描指定目标扫描目录中所有文件类型为XLS的文件，并在列表中显示。(Main functions: scan all files in the directory specified target scanning type for the XLS file, and display in the list.)

说明：  很简单的matla帧差法的代码。。。。。。。。。。。。(Very simple matla frame difference code)

实现滑移率控制的制动防锁死系统，Bangbang控制(Slip ratio control brake anti-lock system, Bangbang control)

this is aircraft power network cotrol system.

该程序用于研究金属介质三维频率的有效介质理论，易于结果的实现。(The procedures for the effective medium theory of 3D metal medium frequency, easy realization results.)

Exit Chart with advance plot in matlab

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

该算法利用演化博弈的思想进行多小区用户的资源分配，将小区重叠部分当做种群，种群中的用户进行演化博弈进行网络切换，基站为其分配子信道。本算法利用matlab进行仿真测试，仿真结果显示演化博弈能够达到稳定，提升系统吞吐量，在小区资源分配能够有一个很好的参考。不同于传统的资源分配方法，可以给出一个新思路(The algorithm uses the idea of evolutionary game to allocate resources for multi-cell users. The overlapping part of the cell is regarded as a population. The users in the population are handed over by evolutionary game, and the base station allocates subchannels to them. The algorithm is tested by matlab. The simulation results show that the evolutionary game can achieve stability, improve system throughput, and have a good reference for resource allocation in the cell. Different from the traditional method of resource allocation, a new idea can be given.)